TY - JOUR
T1 - Cooperative Task Offloading in UAV Swarm-based Edge Computing
AU - Wang, Yutao
AU - Guo, Hongzhi
AU - Liu, Jiajia
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021
Y1 - 2021
N2 - Mobile edge computing (MEC) has been envisioned as a promising technology to meet ever-increasing demands on computational resources. Due to the fixed deployment and limited coverage of conventional MEC, unmanned aerial vehicle (UAV) edge computing began to receive attention with the advantage of flexibility and controllability. However, single UAV edge computing is not competent for complex scenarios with the limitations of computing capability and coverage. Further-more, although multi-UAV edge computing could improve the situation, the long processing delay and insufficient utilization of resources still restrict the communication and cooperative computation among UAVs. Characterized by the unique swarm cooperative communication and computing, UAV swarm-based edge computing can realize more complex task computing and higher computational efficiency. Toward this end, we provide this paper to study the cooperative task offloading problem in UAV swarm-based edge computing, aiming to minimize the overall task processing delay. To solve this problem, we adopt an optimal cooperative computation offloading method. Experimental results demonstrate the importance and high performance of UAV swarm-based edge computation and the low complexity of our proposed method.
AB - Mobile edge computing (MEC) has been envisioned as a promising technology to meet ever-increasing demands on computational resources. Due to the fixed deployment and limited coverage of conventional MEC, unmanned aerial vehicle (UAV) edge computing began to receive attention with the advantage of flexibility and controllability. However, single UAV edge computing is not competent for complex scenarios with the limitations of computing capability and coverage. Further-more, although multi-UAV edge computing could improve the situation, the long processing delay and insufficient utilization of resources still restrict the communication and cooperative computation among UAVs. Characterized by the unique swarm cooperative communication and computing, UAV swarm-based edge computing can realize more complex task computing and higher computational efficiency. Toward this end, we provide this paper to study the cooperative task offloading problem in UAV swarm-based edge computing, aiming to minimize the overall task processing delay. To solve this problem, we adopt an optimal cooperative computation offloading method. Experimental results demonstrate the importance and high performance of UAV swarm-based edge computation and the low complexity of our proposed method.
KW - Cooperative task offloading
KW - mobile edge computing
KW - role division
KW - unmanned aerial vehicle swarm
UR - http://www.scopus.com/inward/record.url?scp=85184647964&partnerID=8YFLogxK
U2 - 10.1109/GLOBECOM46510.2021.9685240
DO - 10.1109/GLOBECOM46510.2021.9685240
M3 - 会议文章
AN - SCOPUS:85184647964
SN - 2334-0983
JO - Proceedings - IEEE Global Communications Conference, GLOBECOM
JF - Proceedings - IEEE Global Communications Conference, GLOBECOM
T2 - 2021 IEEE Global Communications Conference, GLOBECOM 2021
Y2 - 7 December 2021 through 11 December 2021
ER -